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Telegram profile photo for 成都 Joker 听潮阁

Channel

成都 Joker 听潮阁

@yay99991710

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

9,960subscribers

+6,423 since we began measuring on 13 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002150320831
TypeChannel
Username@yay99991710
Description精品报告收录 加入听潮阁享8折出击优惠 老师真实视频: https://t.me/baobeichuji
CreatedBetween 1 May 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live8 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/yay99991710

Topic

Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 13 September 2026 and assigned it the closest of 31 fixed categories, at 48% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

3,5379,9606,748.513 August 2026 — 3,537 subscribers14 August 2026 — 3,713 subscribers17 August 2026 — 5,180 subscribers20 August 2026 — 5,106 subscribers24 August 2026 — 5,177 subscribers27 August 2026 — 5,720 subscribers30 August 2026 — 4,439 subscribers2 September 2026 — 4,179 subscribers6 September 2026 — 4,538 subscribers11 September 2026 — 4,257 subscribers14 September 2026 — 4,274 subscribers19 September 2026 — 4,337 subscribers28 September 2026 — 4,465 subscribers6 October 2026 — 6,580 subscribers12 October 2026 — 6,613 subscribers15 October 2026 — 8,842 subscribers18 October 2026 — 8,947 subscribers21 October 2026 — 8,006 subscribers24 October 2026 — 8,268 subscribers27 October 2026 — 8,552 subscribers30 October 2026 — 9,113 subscribers2 November 2026 — 9,615 subscribers5 November 2026 — 9,744 subscribers8 November 2026 — 9,960 subscribers13 August 20268 November 2026
24 measurements spanning 87 days, net +6,423. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,574–10,923 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
8 Nov 2026, 04:199,960+216
5 Nov 2026, 10:169,744+129
2 Nov 2026, 11:549,615+502
30 Oct 2026, 12:289,113+561
27 Oct 2026, 17:348,552+284
24 Oct 2026, 12:298,268+262
21 Oct 2026, 18:128,006-941
18 Oct 2026, 04:088,947+105
15 Oct 2026, 13:388,842+2,229
12 Oct 2026, 16:176,613+33
6 Oct 2026, 04:006,580+2,115
28 Sept 2026, 21:384,465+128
19 Sept 2026, 09:394,337+63
14 Sept 2026, 20:394,274+17
11 Sept 2026, 15:164,257-281
6 Sept 2026, 22:584,538+359
2 Sept 2026, 12:044,179-260
30 Aug 2026, 16:024,439-1,281
27 Aug 2026, 11:445,720+543
24 Aug 2026, 08:145,177first reading

Engagement

29 posts held, back to 30 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
25.9%
avg views ÷ 9,960 subscribers
Avg views / post
2,580
13 posts measured
Reaction rate
0.096%
reactions ÷ views · ER floor
Posts in window
13
of 29 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 9 of 13 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 November 2026
Posts held29 (30 June 2026 – 7 November 2026)
Views total33,541
Reactions total29
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 11:36 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
171
Videos
23
Links
52

Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
55s
Average length
14s

Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

107 reactions across 18 posts, in 4 distinct kinds. The most used accounts for 87.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤9487.9%
👍98.41%
😁32.80%
🔥10.935%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 20 of the 29 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 107 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 30 June 2026 to 7 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 13 posts held from the last 30 days (7.69%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 13:03 UTC431 viewsread 8 November 2026
Photo

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Signed LotteryBest Bot

7 Nov 2026, 04:00 UTC499 viewsread 8 November 2026
Photo

🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H179359788611 🎰 水水spa✖️海花集给大家送福利! ⚠️ 抽奖说明: ⚠️中奖3天内凭借近期约课记录兑换奖品,不可转让、折现、过期不候! ⚠️开奖后退出频道/群聊者不予以兑换! ⚠️炸号、换号、修改用户名,不予以兑换! ⚠️开奖前需完成抽奖任务 ⚠️最终解释权归我方所有 ⚠️中奖后尽快联系@cdsszyam 💁 参与情况:343达标 / 372报名 🔋 人品加成:194票 ⚡️× 9 🎅 联系领奖:鲨鱼辣椒(初号机) 1. Y OE⚡️× 9 奖品:200¥优惠券 2. 罗 汉~⚡️ 奖品:200¥优惠券 3. 爱脱人家胸罩的托马斯 奖品:200¥优惠券 4. 哈撒给 奖品:通用半价券 5. 山治(靠岸版)⚡️× 9 奖品:通用半价券 6. WiFi密码 奖品:通用半价券 7. opening⚡️⚡️⚡️ 奖品:28.8¥口令红包🧧 8. 破晓长风 奖品:28…

Signed LotteryBest Bot

6 Nov 2026, 04:47 UTC716 views1 reactionsread 8 November 2026
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🎰 🌸成都海花集🌸✖️初樱嫩妹社! 放送福利! 🏞️ 封面设置:已设置图片 📮 参与条件: 🌏️ 归属地 四川 🪪 必须设置用户名 🎫 加入-成南~初樱嫩妹社❀ └ 🔑 发送口令﹝我爱初樱嫩妹社﹞ 🎫 加入-成南~初樱嫩妹社🫧 🎫 加入-成都海花集(搜附近) └ 🔑 发送口令﹝我爱初樱嫩妹社﹞ 🎫 加入-成都 Joker 听潮阁 ❗ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ 100优惠券 × 8 💰️ 188¥口令红包🧧 × 1 💰️ 200优惠券 × 3 💰️ 88¥口令红包🧧 × 1 ⚠️ 抽奖说明: ⚠️中奖3天内凭借近期约课记录兑换奖品,不可转让、折现、过期不候! ⚠️开奖后退出频道/群聊者不予以兑换! ⚠️炸号、换号、修改用户名,不予以兑换! ⚠️开奖前需完成抽奖任务 ⚠️最终解释权归我方所有 ⚠️中奖后尽快联系 @wuhbmd 🔋 人品加成:⚡️× 9 规则 💁 参与情况…

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Signed LotteryBest Bot

5 Nov 2026, 08:55 UTC805 viewsread 8 November 2026
Photo

🎰 水水spa✖️海花集给大家送福利! 📮 参与条件: 🌏️ 归属地 四川 🪪 必须设置用户名 🎫 加入-水水·成都按足浴按摩【spa+92】 🎫 加入-水水·成都按摩足浴【spa+92】 └ 🎟️ 发言数大于 3 条 🎫 加入-成都海花集(搜附近) 🎫 加入-成都 Joker 听潮阁 🎁 奖品内容: 💰️ 200¥优惠券 × 3 💰️ 28.8¥口令红包🧧 × 3 💰️ 66¥口令红包🧧 × 1 💰️ 88¥口令红包🧧 × 1 💰️ 通用半价券 × 3 ⚠️ 抽奖说明: ⚠️中奖3天内凭借近期约课记录兑换奖品,不可转让、折现、过期不候! ⚠️开奖后退出频道/群聊者不予以兑换! ⚠️炸号、换号、修改用户名,不予以兑换! ⚠️开奖前需完成抽奖任务 ⚠️最终解释权归我方所有 ⚠️中奖后尽快联系@cdsszyam 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年11月07日 12时00分00秒

Signed LotteryBest Bot

2 Nov 2026, 06:14 UTC≈1,320 views3 reactionsread 8 November 2026
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🎰 水水spa✖️海花集给大家送福利! 📮 参与条件: 🌏️ 归属地 四川 🪪 必须设置用户名 🎫 加入-水水·成都按足浴按摩【spa+92】 🎫 加入-水水·成都按摩足浴【spa+92】 └ 🎟️ 发言数大于 3 条 🎫 加入-成都海花集(搜附近) 🎫 加入-成都 Joker 听潮阁 🎁 奖品内容: 💰️ 200¥优惠券 × 3 💰️ 28.8¥口令红包🧧 × 3 💰️ 66¥口令红包🧧 × 1 💰️ 88¥口令红包🧧 × 1 💰️ 通用半价券 × 3 ⚠️ 抽奖说明: ⚠️中奖3天内凭借近期约课记录兑换奖品,不可转让、折现、过期不候! ⚠️开奖后退出频道/群聊者不予以兑换! ⚠️炸号、换号、修改用户名,不予以兑换! ⚠️开奖前需完成抽奖任务 ⚠️最终解释权归我方所有 ⚠️中奖后尽快联系@cdsszyam 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年11月07日 12时00分00秒

❤3

Signed LotteryBest Bot

1 Nov 2026, 04:00 UTC≈1,510 viewsread 8 November 2026
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🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H179317493460 🎰 安然宝贝祝大家天天开心 ⚠️ 抽奖说明: ❗️无用户名、炸号、中奖后退出群组或频道不予兑奖; ❗️中奖后需要在48小时内联系兑奖人兑奖,过时不兑换,不能转让; ‼️中奖需要在海花集车库安然老师下点赞留言,否则不予兑奖; 💁 参与情况:1021达标 / 1248报名 🔋 人品加成:290票 ⚡️⚡️⚡️ 🎅 联系领奖:@AnRan5206 1. 小 文⚡️ 奖品:口令红包 520 (可抵单 p) 2. 辣妹子辣 奖品:口令红包 188 3. 不舍 奖品:口令红包 188 4. 达奇你闭嘴⚡️⚡️⚡️ 奖品:口令红包 52 5. 大调查⚡️⚡️⚡️ 奖品:口令红包 52 祝大家心想事成好运连连!

Signed LotteryBest Bot

29 Oct 2026, 13:00 UTC≈1,870 views3 reactionsread 8 November 2026
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🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H179293549601 🎰 🌸海花集✖️传媒大学 联合知意老师 放送福利!! ⚠️ 抽奖说明: 1.抽奖前设置好用户名 2.中奖后请48h内联系兑奖人兑奖,逾期不兑! 3.炸号,退群者不予兑奖 4. 白嫖券兑换联系:@mm588Y 积分请联系:@qiangfong @qiabozi7 💁 参与情况:406达标 / 416报名 🔋 人品加成:137票 ⚡️× 9 🎅 联系领奖:鲨鱼辣椒(初号机) 1. 韩立⚡️× 9 奖品:知意老师单p白嫖券 2. 李火旺 🔥 XXX 奖品:海花集积分300 3. 芝士漫游⚡️× 6 奖品:海花集积分300 4. លី លីហេង 低调小言师⚡️× 4 奖品:海花集积分300 5. 猪猪侠 max⚡️ 奖品:传媒大学积分300 6. chen Dr.⚡️⚡️ 奖品:传媒大学积分300 7. 依 诗(岸)⚡️× 9 奖品:传媒大学积分30…

❤3

Signed LotteryBest Bot

28 Oct 2026, 03:51 UTC≈2,780 views4 reactionsread 8 November 2026
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【妹子花名】:#小野 【妹子车牌】:@Xiaoye52010 【验证留名】:养乐多 【验证时间】:10.27 【所在位置】:#火车南站 【修车水费】:700P 1200PP 【是否代聊】:自聊 【身高体重】:身高163左右 体重45kg 身材瘦小有马甲线 极品身材 【妹子年龄】:24岁左右 偏御 【湿度紧度昆感】:外肉色内粉,毛量正常,水超级多,随时摸都是水汪汪,日感足,反馈好 【颜值相似】:人照9分,去掉美白基本无差 【凶器罩杯】:胸B,盈盈一握,奶头正常,很粉的头头 【环境卫生】:干净卫生 正常上课环境 酒店 【服务内容】:口,蛇,舔胸,陪洗,做 【机车行为】:无 【综合评分】:综合9.1分(颜值8.7分,态度9.3分,身材9分,情绪价值9.4分) 【评级】:夯(平均分达到以上标准:夯9分以上,人上人8.7分以上,精品8.5分以上,路人8.2分以上,路边一条8及8以下) 🌸综合评价🌸 【优点缺点】:嫩御,…

❤4

Signed 鲨鱼辣椒(初号机)

25 Oct 2026, 15:23 UTC≈2,180 views1 reactionsread 8 November 2026
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❤1

Signed LotteryBest Bot

24 Oct 2026, 14:20 UTC≈2,520 views2 reactionsread 8 November 2026
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🌸【成都海花集修车群】🌸 专用报告 🌸基础信息🌸 【妹子花名】:#yiyi 【妹子车牌】:@wwLovo 【验证留名】:chen Dr. 【验证时间】:10.24 【所在位置】:#中坝 【修车水费】:10p 【是否代聊】:自聊 🌸硬件评价🌸 【身高体重】:170左右,体重90左右 【妹子年龄】:看着二十 【湿度紧度昆感】:蝴蝶户型,内粉,毛量正常,紧,水多 【颜值相似】:9.0 【凶器罩杯】:小c,没有科技,手感软,奶头粉色,大小花生粒,有乳晕 🌸软件评价🌸 【环境卫生】:无门禁位置好找,卫生还行 【服务内容】:口爆,陪洗,aiai,🐍 【机车行为】:无 🌸综合评价🌸 【优点缺点】:人照9分高颜值、身材完美、情绪价值足、aiai反馈度高。 【性 价 比】: 9分/满分10.0分 【推荐程度】: 9分/满分10.0分 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体…

❤2

Signed 鲨鱼辣椒(初号机)

17 Oct 2026, 16:30 UTC≈3,830 views6 reactionsread 8 November 2026
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【妹子花名】:#文文 【妹子车牌】:@ww5880w 【验证留名】:养乐多 【验证时间】:10.17 【所在位置】:#市中心 【修车水费】:700P 1200PP 【是否代聊】:代 【身高体重】:身高165左右 体重48kg左右 身材匀称 是看起来就有点极品的身材 【妹子年龄】:24岁的御姐 果然还是御姐懂事啊 【湿度紧度昆感】:外褐内粉,毛量正常,水超级多,洗澡时都能摸到下面的水,相当紧祥见报告,日感足,反馈好,不假不做作 【颜值相似】:人照9分,去掉美颜基本无差 【凶器罩杯】:胸型D左右 八字奶 挺拔 乳晕大 软弹的胸 不塌 【环境卫生】:干净卫生 正常上课环境 【服务内容】:AB面,口,超级大蟒蛇,舔胸,陪洗,做 【机车行为】:无 【综合评分】:综合8.925分(颜值8分,态度9.3分,身材9分,情绪价值9.4分) 【评级】:人上人(平均分达到以上标准:夯9分以上,人上人8.7分以上,精品8.5分以上,路人8…

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Signed 宝 贝(立志成为大网黄版)

17 Oct 2026, 01:53 UTC≈12,000 views5 reactionsread 5 November 2026

Posted without readable text

❤5

Signed 宝 贝(立志成为大网黄版)

Showing the 12 most recent of 29 posts we hold for @yay99991710. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts recorded as deleted after publishing

We recorded 2 posts on @yay99991710 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
3 November 2026
Most recent seen missing
7 November 2026
Median time before seen missing
4 days
Seen missing in the last 30 days
2

Mentions

Named by 8 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 8 November 2026 — this entry's latest reading, not the date you are reading this.

“成都 Joker 听潮阁” (@yay99991710), 9,960 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/yay99991710.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.